Austria vs Bangladesh: Days above 35 °C

Days above 35 °C in 2014: 0.1 days in Austria and 19.4 days in Bangladesh, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 19.3 days, or 220 times that in Austria.

Watch it change on the map

days a year · CMIP6

AustriaBangladeshCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Bangladesh has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Austria at 1.6 days and Bangladesh at 56.8 days in 2100.

Every year

days a year · CMIP6

Year	Austria	Bangladesh
2014	0.1	19.4
2013	0	14.1
2012	0	17
2011	0	13.4
2010	0	16.9
2009	0	14.4
2008	0	14
2007	0	14.3
2006	0	17.8
2005	0	16.1
2004	0	14.7
2003	0	15.9
2002	0	17.7
2001	0	16.9
2000	0	16.6
1999	0	15.6
1998	0	15.4
1997	0	16.8
1996	0	14.2
1995	0	13.2
1994	0	15.2
1993	0	12.4
1992	0	8
1991	0	18.8
1990	0	18.5
1989	0	13.7
1988	0	13.5
1987	0	17.9
1986	0	17.9
1985	0	14.4
1984	0	19
1983	0	14.6
1982	0	16.3
1981	0	15.4
1980	0	14.5
1979	0	16.7
1978	0	15
1977	0	14.1
1976	0	17.5
1975	0	14.4
1974	0	17.3
1973	0	17
1972	0	15.7
1971	0	16.9
1970	0	16.5
1969	0	15.5
1968	0	16.2
1967	0	13.5
1966	0	15.6
1965	0	15.4
1964	0	14.7
1963	0	16.1
1962	0	19.1
1961	0	18
1960	0	19.2
1959	0	18
1958	0	17.5
1957	0	18.1
1956	0	19.2
1955	0	16.9
1954	0	19.4
1953	0	21
1952	0	17.2
1951	0	19.9
1950	0	22.3

CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100

Year	Austria	Bangladesh
2015	00–0.2	17.85.5–30.2
2016	00–0.8	17.53.9–31.5
2017	0.10–0.9	14.14.8–29
2018	0.10–1	13.92–31
2019	00–0.8	14.93.9–28
2020	0.20–0.8	14.94.1–36.3
2021	00–0.5	17.25.6–33
2022	0.10–0.7	17.21.4–36.6
2023	00–1.1	18.16.6–32.2
2024	0.10–1	21.24.9–36.6
2025	0.10–1.3	16.73.9–36.8
2026	0.20–1.4	18.36.7–34
2027	00–0.9	18.33.5–38.2
2028	0.20–1	18.64.2–33.2
2029	0.20–1.3	18.22.2–34.9
2030	0.10–0.7	174.6–31.3
2031	00–0.8	153.9–32.1
2032	0.10–1.1	19.33.2–34.3
2033	0.10–1.4	17.53.9–32
2034	0.20–1.8	16.24–29.3
2035	0.10–1.4	16.26.6–31.6
2036	0.30–2.5	17.76.3–36.6
2037	0.20–1.6	20.65.7–39.1
2038	0.10–2.1	21.96.6–38.5
2039	0.40–1.6	21.45.1–43.2
2040	0.30–1.4	22.86–48.8
2041	0.20–1.1	19.44.7–44.5
2042	0.20–1.9	22.86.3–50.6
2043	0.40–1.7	25.17.2–47
2044	0.30–2.1	24.77.9–45
2045	0.30–1.4	24.110–42.5
2046	0.40–2.1	28.57.8–55.7
2047	0.50–2.1	26.47.4–50.6
2048	0.30–3.1	30.28–52.9
2049	0.50–3.2	29.511.3–54.1
2050	0.50–1.7	26.810.4–47.8
2051	0.40–1.6	32.713.4–54.3
2052	0.30–1.8	29.313–59.8
2053	0.20–2.6	26.79.4–54.9
2054	0.40–2.5	29.910.9–57.7
2055	0.30–2.1	34.613.5–60.8
2056	0.40–3	34.215.2–59
2057	0.60–2.3	3912.3–72.8
2058	0.80–4.1	38.917–69.9
2059	0.50–3.2	35.914.6–66
2060	0.40–3	36.818.6–65.3
2061	0.90.1–2.7	38.919.6–65.9
2062	0.40–2.3	35.115.8–63.8
2063	0.90–3.8	42.114.5–66.9
2064	0.80–3.8	37.317–62.7
2065	0.80–3.3	35.618.5–60.2
2066	0.70–2.8	35.812.3–64.7
2067	0.80.1–4.5	32.612.9–61.8
2068	0.80–2.5	40.717.5–76.4
2069	0.90.1–3.1	43.915.7–73.3
2070	0.90–3.6	33.714.7–63
2071	0.90–4.5	42.817.7–73.9
2072	1.30.2–3.6	42.718.2–68.1
2073	0.60–2.3	44.423.8–82.3
2074	0.60–2.7	4214.1–71.6
2075	10.1–5.9	41.515.2–70.1
2076	10–4.5	39.914.1–81.2
2077	0.60–4.3	42.723.6–83.6
2078	0.90.1–5.3	44.424.7–79.2
2079	0.70–6.7	43.923.1–74.7
2080	1.10.1–4	52.224.5–83
2081	1.10–6.3	50.628.6–83
2082	1.50.2–7.6	49.322.9–92.1
2083	0.80–3.5	49.218.9–88.7
2084	10.2–3.7	50.421.6–92.6
2085	1.30.1–4.1	49.920.5–104.5
2086	1.10–4.9	50.922.5–100.6
2087	10.1–6	53.125–82.1
2088	1.90.1–7	46.314.7–108.4
2089	1.10.1–7	52.722.8–107.6
2090	1.30.1–7.8	55.216.3–89.2
2091	1.90.2–5.9	51.331.2–98
2092	0.90–4.3	55.422.1–101.2
2093	0.70–3.5	47.718.8–94.6
2094	1.60.1–5.5	51.225.3–87.3
2095	1.40–5.6	57.624.4–95.1
2096	1.10–5	50.820–91.8
2097	0.90–5.2	48.923.7–96
2098	1.30.2–5.6	52.926.4–94.7
2099	1.30.2–5.7	48.722.9–82
2100	1.60.1–6.8	56.822.9–95.8

Each country on its own

Good to know

Days in a year whose highest temperature passes 35 °C, averaged over the country.
Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

Austria vs Bangladesh: Days above 35 °C

What the numbers say

Every year

Each country on its own

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